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cs.LG2025
Responsiveness Verification: Will Predictions Change? How Much? How Often?
Harry Cheon, Meredith Stewart, Bogdan Kulynych +2
Machine learning models are often used in applications where their inputs change due to routine interactions, strategic manipulation, or noise. In such settings, models can undermi…
cs.LG2023★ 1 cited
Prediction without Preclusion: Recourse Verification with Reachable Sets
Avni Kothari, Bogdan Kulynych, Tsui-Wei Weng +1
Machine learning models are often used to decide who receives a loan, a job interview, or a public benefit. Models in such settings use features without considering their actionabi…